Title :
Event detection and analysis from video streams
Author :
Medioni, Gérard ; Cohen, Isaac ; Brémond, Francois ; Hongeng, Somboon ; Nevatia, Ramakant
Author_Institution :
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
8/1/2001 12:00:00 AM
Abstract :
We present a system which takes as input a video stream obtained from an airborne moving platform and produces an analysis of the behavior of the moving objects in the scene. To achieve this functionality, our system relies on two modular blocks. The first one detects and tracks moving regions in the sequence. It uses a set of features at multiple scales to stabilize the image sequence, that is, to compensate for the motion of the observer, then extracts regions with residual motion and uses an attribute graph representation to infer their trajectories. The second module takes as input these trajectories, together with user-provided information in the form of geospatial context and goal context to instantiate likely scenarios. We present details of the system, together with results on a number of real video sequences and also provide a quantitative analysis of the results
Keywords :
image sequences; inference mechanisms; motion compensation; remote sensing; stability; tracking; video signal processing; airborne moving platform; attribute graph representation; event analysis; event detection; geospatial context; goal context; image sequence stabilization; modular blocks; moving region detection; moving region tracking; observer motion compensation; quantitative analysis; trajectory inference; video sequences; video streams; Cameras; Data mining; Event detection; Image sequences; Layout; Object detection; Streaming media; Trajectory; Video sequences; Video surveillance;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
